基于G-MSRCR算法的水下图像增强研究
Research on underwater image enhancement based on G-MSRCR algorithm
刘飞跃 1沈靖夫 1柳淳 1张元良2
作者信息
- 1. 江苏海洋大学海洋工程学院,江苏 连云港 222005
- 2. 江苏海洋大学机械工程学院,江苏连云港 222005
- 折叠
摘要
针对水下采集的图像存在色偏严重、对比度偏低的现象,本文提出 一种基于自适应直方图拉伸和改进MSRCR的水下图像增强方法.该方法主要分为以下几个步骤:首先采用白平衡调整图像的颜色温度尽可能地消除色偏,其次通过设计的自适应HE分段函数对图像进行进一步的色彩平衡处理从而增强图像的视觉效果,然后使用增加了对比度增强的MSRCR对图像进行色彩恢复和对比度增强,最后通过新的AGCWD对图像进行对比度调整从而使最终获得的图像色彩平衡,明暗分明.为了证明本文方法的有效性选取了水下真实图像进行增强处理,并且选取最近几年的算法进行参考对比,实验结果证明本文算法对于水下色偏严重、对比度不高的图像具有很好的增强效果,增强后的图像质量增加、色偏减少、清晰度更高.
Abstract
Aiming at the phenomenon of severe color cast and low contrast in images collected underwater,this paper proposes a method for underwater image enhancement based on adaptive histogram stretching and improved MSRCR.The method is mainly divided into the following steps:first,the white balance is used to adjust the color temperature of the im-age to eliminate the color cast as much as possible,secondly,the image is further color balance processing through the de-signed adaptive HE segmentation function to enhance the visual effect of the image,and then the MSRCR with increased contrast enhancement is used to restore the color and contrast enhancement of the image,and finally the contrast adjustment of the image is adjusted by the new AGCWD so that the final image color balance is clearly distinguished.In order to prove the effectiveness of the proposed method,the underwater real image is selected for enhancement processing,and the al-gorithm in recent years is selected for reference comparison,and the experimental results show that the proposed algorithm has a good enhancement effect for images with severe underwater color cast and low contrast,and the enhanced image qual-ity is increased,the color cast is reduced and the clarity is higher.
关键词
水下图像增强/MSRCR/白平衡/AGCWD/颜色校正Key words
underwater image enhancement/MSRCR/white balance/AGCWD/color correction引用本文复制引用
基金项目
国家自然科学基金委员会项目(62271236)
出版年
2024
NETL
NSTL
万方数据